Biologically Inspired Cognitive Architectures

The focus of the journal is on the integration of many research efforts in addressing the challenge of creating a real-life computational equivalent of the human mind. Therefore, the journal publishes on the multidisciplinary study of cognitive architectures found in vivo and in silico.

To help foster a wider understanding, at a computational level, of how natural intelligent systems develop their cognitive, metacognitive, and learning functions, the journal will promote the overarching goal of creating one unifying widespread framework for the computational modeling of biologically inspired cognitive architectures.

Contributions to the journal should include a cognitive architecture element and an element of biological inspiration, the latter understood broadly (e.g., inspiration by the human cognition). Both mature and new cutting edge research are welcomed, provided they have a strong emphasis on concrete empirical or theoretical studies. Submissions of a purely philosophical nature are discouraged and will be redirected elsewhere.

Source Normalized Impact per Paper (SNIP):2013: 2.693SNIP measures contextual citation impact by weighting citations based on the total number of citations in a subject field.

SCImago Journal Rank (SJR): 0.512

SCImago Journal Rank (SJR):2013: 0.512SJR is a prestige metric based on the idea that not all citations are the same. SJR uses a similar algorithm as the Google page rank; it provides a quantitative and a qualitative measure of the journal’s impact.